Evidence map›Paper›PMID 37798402›Full record

ArticleDiscover nano2023

Reconfigurable frequency multipliers based on graphene field-effect transistors.

A Toral-Lopez, E G Marin, F Pasadas, M D Ganeriwala, F G Ruiz, D Jiménez, A Godoy

Abstract read
In one paragraph

Article in Discover nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

A Toral-LopezDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain. atoral@ugr.es.
E G MarinDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain.
F PasadasDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain.
M D GaneriwalaDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain.
F G RuizDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain.
D JiménezDepartament d'Enginyeria Electrònica, Escola d'Enginyeria, Universitat Autònoma de Barcelona, Bellaterra, Spain.
A GodoyDpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Run-time device-level reconfigurability has the potential to boost the performance and functionality of numerous circuits beyond the limits imposed by the integration density. The key ingredient for the implementation of reconfigurable electronics lies in ambipolarity, which is easily accessible in a substantial number of two-dimensional materials, either by contact engineering or architecture device-level design. In this work, we showcase graphene as an optimal solution to implement high-frequency reconfigurable electronics. We propose and analyze a split-gate graphene field-effect transistor, demonstrating its capability to perform as a dynamically tunable frequency multiplier. The study is based on a physically based numerical simulator validated and tested against experiments. The proposed architecture is evaluated in terms of its performance as a tunable frequency multiplier, able to switch between doubler, tripler or quadrupler operation modes. Different material and device parameters are analyzed, and their impact is assessed in terms of the reconfigurable graphene frequency multiplier performance.

Indexed as

Field-effect transistorFrequency multiplierGrapheneHigh frequencyRadio frequencyReconfigurableSplit gate

Identifiers

PMID37798402
PMCPMC10555978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.